Relevant bibliographies by topics / Subcategorization

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  2. Dissertations / Theses
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Academic literature on the topic 'Subcategorization'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Subcategorization"

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O'Donovan, Ruth, Michael Burke, Aoife Cahill, Josef van Genabith, and Andy Way. "Large-Scale Induction and Evaluation of Lexical Resources from the Penn-II and Penn-III Treebanks." Computational Linguistics 31, no. 3 (September 2005): 329–66. http://dx.doi.org/10.1162/089120105774321073.

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We present a methodology for extracting subcategorization frames based on an automatic lexical-functional grammar (LFG) f-structure annotation algorithm for the Penn-II and Penn-III Treebanks. We extract syntactic-function-based subcategorization frames (LFG semantic forms) and traditional CFG category-based subcategorization frames as well as mixed function/category-based frames, with or without preposition information for obliques and particle information for particle verbs. Our approach associates probabilities with frames conditional on the lemma, distinguishes between active and passive frames, and fully reflects the effects of long-distance dependencies in the source data structures. In contrast to many other approaches, ours does not predefine the subcategorization frame types extracted, learning them instead from the source data. Including particles and prepositions, we extract 21,005 lemma frame types for 4,362 verb lemmas, with a total of 577 frame types and an average of 4.8 frame types per verb. We present a large-scale evaluation of the complete set of forms extracted against the full COMLEX resource. To our knowledge, this is the largest and most complete evaluation of subcategorization frames acquired automatically for English.
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Gianettoni, Lavinia, Alain Clémence, and Christian Staerklé. "When Subcategorization Facilitates Group Cohesion." Swiss Journal of Psychology 71, no. 4 (October 2012): 205–13. http://dx.doi.org/10.1024/1421-0185/a000089.

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This paper analyzes the conditions under which groups composed of two opposing factions are able to preserve group cohesion and subgroup opinion divisions simultaneously. Results from two experimental studies conducted with small interactive groups showed that groups with opposing factions were able to preserve subgroup divergence without jeopardizing superordinate group cohesion. A process termed relational regulation of ingroup opinion divisions explains these findings: The more group members perceived the group as promoting good relations, the more they maintained or even radicalized their initial opinions. In contrast, in an experimental context in which opinion divergences were not reinforced by subcategorization, we observed convergence toward a unique group position destined to maintain group cohesion that was independent of the perceived relational norm.
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Mirroshandel, Seyed Abolghasem, and Alexis Nasr. "Integrating Selectional Constraints and Subcategorization Frames in a Dependency Parser." Computational Linguistics 42, no. 1 (March 2016): 55–90. http://dx.doi.org/10.1162/coli_a_00242.

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Statistical parsers are trained on treebanks that are composed of a few thousand sentences. In order to prevent data sparseness and computational complexity, such parsers make strong independence hypotheses on the decisions that are made to build a syntactic tree. These independence hypotheses yield a decomposition of the syntactic structures into small pieces, which in turn prevent the parser from adequately modeling many lexico-syntactic phenomena like selectional constraints and subcategorization frames. Additionally, treebanks are several orders of magnitude too small to observe many lexico-syntactic regularities, such as selectional constraints and subcategorization frames. In this article, we propose a solution to both problems: how to account for patterns that exceed the size of the pieces that are modeled in the parser and how to obtain subcategorization frames and selectional constraints from raw corpora and incorporate them in the parsing process. The method proposed was evaluated on French and on English. The experiments on French showed a decrease of 41.6% of selectional constraint violations and a decrease of 22% of erroneous subcategorization frame assignment. These figures are lower for English: 16.21% in the first case and 8.83% in the second.
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Lippincott, Thomas, Laura Rimell, Karin Verspoor, and Anna Korhonen. "Approaches to verb subcategorization for biomedicine." Journal of Biomedical Informatics 46, no. 2 (April 2013): 212–27. http://dx.doi.org/10.1016/j.jbi.2012.12.001.

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KIM, HYEREE. "Subcategorization inheritance in Old English P-V compounds." Journal of Linguistics 33, no. 1 (March 1997): 39–66. http://dx.doi.org/10.1017/s0022226796006299.

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This article deals with the relation between subcategorization and the notion head in OE [P-V] compounds. Many morphosyntactic properties such as category and morphological class percolate from the head to the mother. Subcategorization, however, can percolate to the mother from a nonhead as well as from the head. This is evident from the comparison of their case government properties. This paper shows that the process of ARGUMENT ATTRACTION developed within Head-driven Phrase Structure Grammar permits a straightforward account of this phenomenon.
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Bennett, Ryan, Boris Harizanov, and Robert Henderson. "Prosodic Smothering in Macedonian and Kaqchikel." Linguistic Inquiry 49, no. 2 (March 2018): 195–246. http://dx.doi.org/10.1162/ling_a_00272.

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This article deals with a so-far unnoticed phenomenon in prosodic phonology, which we dub prosodic smothering. Prosodic smothering arises when the prosodic status of a clitic or affix varies with the presence or absence of some outer morpheme. We first illustrate prosodic smothering with novel data from two genetically unrelated languages, Macedonian (Slavic) and Kaqchikel (Mayan). We then provide a unified account of prosodic smothering based on a principled extension of the theory of prosodic subcategorization (e.g., Inkelas 1990 , Peperkamp 1997 , Chung 2003 , Yu 2003 , Paster 2006 , Bye 2007 ). Prosodic subcategorization typically involves requirements placed on items to the left or the right of the selecting morpheme. We show that prosodic smothering naturally emerges in a theory that also allows for subcategorization in the vertical dimension, such that morphemes may select for the prosodic category that immediately dominates them in surface prosodic structure. This extension successfully reduces two apparent cases of nonlocal prosodic conditioning to the effects of strictly local prosodic selection.
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Brothers, Trevor, Liv J. Hoversten, and Matthew J. Traxler. "Bilinguals on the garden-path: Individual differences in syntactic ambiguity resolution." Bilingualism: Language and Cognition 24, no. 4 (April 8, 2021): 612–27. http://dx.doi.org/10.1017/s1366728920000711.

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AbstractSyntactic parsing plays a central role in the interpretation of sentences, but it is unclear to what extent non-native speakers can deploy native-like grammatical knowledge during online comprehension. The current eye-tracking study investigated how Chinese–English bilinguals and native English speakers respond to syntactic category and subcategorization information while reading sentences with object-subject ambiguities. We also obtained measures of English language experience, working memory capacity, and executive function to determine how these cognitive variables influence online parsing. During reading, monolinguals and bilinguals showed similar garden-path effects related to syntactic reanalysis, but native English speakers responded more robustly to verb subcategorization cues. Readers with greater language experience and executive function showed increased sensitivity to verb subcategorization cues, but parsing was not influenced by working memory capacity. These results are consistent with exposure-based accounts of bilingual sentence processing, and they support a link between syntactic processing and domain-general cognitive control.
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Bordag, Denisa, Amit Kirschenbaum, Andreas Opitz, Maria Rogahn, and Erwin Tschirner. "INCIDENTAL ACQUISITION OF GRAMMATICAL FEATURES DURING READING IN L1 AND L2." Studies in Second Language Acquisition 38, no. 3 (October 12, 2015): 445–83. http://dx.doi.org/10.1017/s0272263115000315.

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The present study explores the initial stages of incidental acquisition of two grammatical properties of verbs (subcategorization and [ir]regularity) during reading in first language (L1) and second language (L2) German using an adjusted self-paced reading paradigm. The results indicate that L1 speakers are superior to L2 speakers in the incidental acquisition of grammatical knowledge (experiments on subcategorization), except when the new knowledge interferes with previously acquired knowledge and mechanisms (experiments on [ir]regularity): Although both populations performed equally well regarding the acquisition of the subcategorization of verbs from the input (i.e., whether the verbs are transitive or intransitive), they differed with respect to the regularity status of new verbs. L1 speakers (in contrast to L2 learners) seem to disprefer irregularly conjugated verb forms in general, irrespective of their conjugation in the previous input. The results further show that the syntactic complexity of the context and morphological markedness positively affect the incidental acquisition of new words in the L2, triggering learners’ shift of attention from the text level to the word level.
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Emonds, Joseph E. "Subcategorization and syntax-based theta-role assignment." Natural Language and Linguistic Theory 9, no. 3 (August 1991): 369–429. http://dx.doi.org/10.1007/bf00135353.

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Fisher, Cynthia, Henry Gleitman, and Lila R. Gleitman. "On the semantic content of subcategorization frames." Cognitive Psychology 23, no. 3 (July 1991): 331–92. http://dx.doi.org/10.1016/0010-0285(91)90013-e.

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Dissertations / Theses on the topic "Subcategorization"

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Korhonen, Anna-Leena. "Subcategorization acquisition." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620306.

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Ingham, Richard. "Verb subcategorization in children's language." Thesis, University of Reading, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359302.

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Raza, Ghulam [Verfasser]. "Subcategorization Acquisition and Classes of Predication in Urdu / Ghulam Raza." Konstanz : Bibliothek der Universität Konstanz, 2011. http://d-nb.info/1018611495/34.

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Pagatto, Louise. "Verb subcategorization and verb derivation in Marshallese| A lexicase analysis." Thesis, University of Hawai'i at Manoa, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3731421.

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The research presented in this dissertation is an application of lexicase, an empirical lexicalist theory of syntax, to the facts of Marshallese, one of the languages of the Micronesian language family. In particular, the dissertation focusses on two aspects of the syntax of Marshallese verbs: (1) the classification of verbs on the basis of their morphosyntactic properties, and (2) the formalization of certain derivational relationships between verbs and lexical items in other syntactic categories as well as between the various subcategories of verbs. However, the scope of the investigation has not been limited exclusively to verbs. An overview of the basic syntactic properties of Marshallese sentence types, the internal structure of noun phrases and the general properties of verbs and the constituents in their domains is provided in Chapter 2.

Marshallese verbs are subcategorized primarily on the basis of the syntactic features which encode their argument structure, i.e. the case relations which they imply and/or the verbal complements with which they must cooccur. The semantic and syntactic properties of case relations and the characteristics of the case marking system of Marshallese are presented in Chapter 3.

Given these subcategorization criteria, Marshallese is said to include nine major verb classes, subdivided on the basis of whether the verbs are transitive or intransitive, personal or˙ impersonal, extension or non-extension, and adjectival or non-adjectival. The syntactic properties of each of these categories are discussed in detail in Chapter 4.

The derivational relationships that hold between verbs and words of other grammatical categories, and between various subtypes of verbs are formalized in Chapter 5, capturing the morphological, semantic and syntactic relationships between sets of source and derived words.

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Gábor, Kata. "Computational syntax of Hungarian : from phrase chunking to verb subcategorization." Thesis, Besançon, 2012. http://www.theses.fr/2012BESA1020/document.

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La linguistique informatique est un domaine de recherche qui se concentre sur les méthodes et les perspectives de la modélisation formelle (statistique ou symbolique) de la langue naturelle. La linguistique informatique, tout comme la linguistique théorique, est une discipline fortement modulaire : les niveaux d'analyse linguistique comprennent la segmentation, l'analyse morphologique, la désambiguïsation, l'analyse syntaxique et sémantique. Tandis qu'un nombre d'outils existent déjà pour les traitements de bas niveau (analyse morphologique, étiquetage grammatical), le hongrois peut être considéré comme une langue peu doté pour l'analyse syntaxique et sémantique. Le travail décrit dans la présente thèse vise à combler ce manque en créant des ressources pour le traitement syntaxique du hongrois : notamment, un analyseur en chunks et une base de données lexicale de schémas de sous-catégorisation verbale. La première partie de la recherche présentée ici se concentre sur la création d'un analyseur syntaxique de surface (ou analyseur en chunks) pour le hongrois. La sortie de l'analyseur de surface est conçue pour servir d'entrée pour un traitement ultérieur visant à annoter les relations de dépendance entre le prédicat et ses compléments essentiels et circonstanciels. L'analyseur profond est mis en œuvre dans NooJ (Silberztein, 2004) en tant qu'une cascade de grammaires. Le deuxième objectif de recherche était de proposer une représentation lexicale pour la structure argumentale en hongrois. Cette représentation doit pouvoir gérer la vaste gamme de phénomènes qui échappent à la dichotomie traditionnelle entre un complément essentiel et un circonstanciel (p. ex. des structures partiellement productives, des écarts entre la prédictibilité syntaxique et sémantique). Nous avons eu recours à des résultats de la recherche récente sur la réalisation d'arguments et choisi un cadre qui répond à nos critères et qui est adaptable à une langue non-configurationnelle. Nous avons utilisé la classification sémantique de Levin (1993) comme modèle. Nous avons adapté les notions relatives à cette classification, à savoir celle de la composante sémantique et celle de l'alternance syntaxique, ainsi que la méthodologie d'explorer et de décrire le comportement des prédicats à l'aide de cette représentation, à la tâche de construire une représentation lexicale des verbes dans une langue non-configurationnelle. La première étape consistait à définir les règles de codage et de construire un vaste base de données lexicale pour les verbes et leurs compléments. Par la suite, nous avons entrepris deux expériences pour l'enrichissement de ce lexique avec des informations sémantiques lexicales afin de formaliser des généralisations syntaxiques et sémantiques pertinentes sur les classes de prédicats sous-jacentes. La première approche que nous avons testée consistait en une élaboration manuelle de classification de verbes en fonction de leur structure de compléments et de l'attribution de rôles sémantiques à ces compléments. Nous avons cherché la réponse aux questions suivantes: quelles sont les composants sémantiques pertinents pour définir une classification sémantique des prédicats hongrois? Quelles sont les implications syntaxiques spécifiques à ces classes? Et, plus généralement, quelle est la nature des alternances spécifiques aux classes verbales en hongrois ? Dans la phase finale de la recherche, nous avons étudié le potentiel de l'acquisition automatique pour extraire des classes de verbes à partir de corpus. Nous avons effectué une classification non supervisée, basée sur des données distributionnelles, pour obtenir une classification sémantique pertinente des verbes hongrois. Nous avons également testé la méthode de classification non supervisée sur des données françaises
We present the creation of two resources for Hungarian NLP applications: a rule-based shallow parser and a database of verbal subcategorization frames. Hungarian, as a non-configurational language with a rich morphology, presents specific challenges for NLP at the level of morphological and syntactic processing. While efficient and precise morphological analyzers are already available, Hungarian is under-resourced with respect to syntactic analysis. Our work aimed at overcoming this problem by providing resources for syntactic processing. Hungarian language is characterized by a rich morphology and a non-configurational encoding of grammatical functions. These features imply that the syntactic processing of Hungarian has to rely on morphological features rather than on constituent order. The broader interest of our undertaking is to propose representations and methods that are adapted to these specific characteristics, and at the same time are in line with state of the art research methodologies. More concretely, we attempt to adapt current results in argument realization and lexical semantics to the task of labeling sentence constituents according to their syntactic function and semantic role in Hungarian. Syntax and semantics are not completely independent modules in linguistic analysis and language processing: it has been known for decades that semantic properties of words affect their syntactic distribution. Within the syntax-semantics interface, the field of argument realization deals with the (partial or complete) prediction of verbal subcategorization from semantic properties. Research on verbal lexical semantics and semantically motivated mapping has been concentrating on predicting the syntactic realization of arguments, taking for granted (either explicitly or implicitly) that the distinction between arguments and adjuncts is known, and that adjuncts' syntactic realization is governed by productive syntactic rules, not lexical properties. However, besides the correlation between verbal aspect or actionsart and time adverbs (e.g. Vendler, 1967 or Kiefer, 1992 for Hungarian), the distribution of adjuncts among verbs or verb classes did not receive significant attention, especially within the lexical semantics framework. We claim that contrary to the widely shared presumption, adjuncts are often not fully productive. We therefore propose a gradual notion of productivity, defined in relation to Levin-type lexical semantic verb classes (Levin, 1993; Levin and Rappaport-Hovav, 2005). The definition we propose for the argument-adjunct dichotomy is based on evidence from Hungarian and exploits the idea that lexical semantics not only influences complement structure but is the key to the argument-adjunct distinction and the realization of adjuncts
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McCarthy, Diana. "Lexical acquisition at the syntax-semantics interface : diathesis alternations, subcategorization frames and selectional preferences." Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340804.

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Siddiqi, Daniel A. "Minimize Exponence: Economy Effects on a Model of the Morphosyntactic Component of the Grammar." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/194752.

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Working within the morphosyntactic framework of Distributed Morphology (DM, Halle and Marantz 1993, 1994) within the Minimalist Program (Chomsky 1995), this dissertation proposes a new economy constraint on the grammar, MINIMIZE EXPONENCE, which selects the derivation that realizes all its interpretable features with the fewest morphemes. The purpose of this proposal is to capture the conflicting needs of the grammar to be both maximally contrastive and maximally efficient.I show that the constraint MINIMIZE EXPONENCE has a number of effects on analyses of morphosyntactic phenomena. I propose that, in order to satisfy MINIMIZE EXPONENCE, the roots in a derivation fuse with the functional heads projected above them, resulting in a simplex head that contains both a root and interpretable features. Following the tenets of DM, this head is now a target for the process of Vocabulary insertion. Since the target node contains both content and functional information, so too can Vocabulary Items (VIs) be specified for both types of information. This allows VIs such as eat and ate to compete with each other. This competition of forms linked to the same root allows for a new model of root allomorphy within the framework of DM. In this model of root allomorphy, following proposals by Pfau (2000), VIs that realize roots participate in competition in the same was as do VIs that realize abstract morphemes. Since root VIs are participating in competition and are specified for both content and formal features, the need for licensing through secondary exponence as proposed by Harley and Noyer (2000) is removed from the framework. Further, since eat and ate in this model are different VIs with different specifications that compete with each other for insertion, this model of root allomorphy also eliminates the need for readjustment rules as proposed by Halle and Marantz (1993, 1994) and elaborated on by Marantz (1997). This new model of root allomorphy allows for an account of the blocking of regular inflection in English nominal compounds (e.g. *rats-catcher), which was problematic for theorists working with DM, given the tenets of the framework.I also show that the fusion of roots and functional elements driven by MINIMIZE EXPONENCE allows for a new account of subcategorization. The model of subcategorization presented here falls out of the following facts: 1) arguments are introduced by functional heads; 2) those heads fuse with the root they are projected above, resulting in the node containing both the root and the features of the functional heads; 3) since the root now contains both the root and the formal features, the corresponding VI can be specified for both; 4) VIs that realize roots can also be specified for compatibility or incompatibility of the features of the functional heads that license argument structure. The result here is an underspecification model of subcategorization that predicts a number of behaviors of verbs with respect to their argument structure that it is difficult for a full specification model to account for. Those include polysemy (I ran the ball to Mary) and structural coercion (I thought the book to Mary).
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Huang, Yan. "Automatic syntactic analysis of learner English." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/285998.

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Automatic syntactic analysis is essential for extracting useful information from large-scale learner data for linguistic research and natural language processing (NLP). Currently, researchers use standard POS taggers and parsers developed on native language to analyze learner language. Investigation of how such systems perform on learner data is needed to develop strategies for minimizing the cross-domain effects. Furthermore, POS taggers and parsers are developed for generic NLP purposes and may not be useful for identifying specific syntactic constructs such as subcategorization frames (SCFs). SCFs have attracted much research attention as they provide unique insight into the interplay between lexical and structural information. An automatic SCF identification system adapted for learner language is needed to facilitate research on L2 SCFs. In this thesis, we first provide a comprehensive evaluation of standard POS taggers and parsers on learner and native English. We show that the common practice of constructing a gold standard by manually correcting the output of a system can introduce bias to the evaluation, and we suggest a method to control for the bias. We also quantitatively evaluate the impact of fine-grained learner errors on POS tagging and parsing, identifying the most influential learner errors. Furthermore, we show that the performance of probabilistic POS taggers and parsers on native English can predict their performance on learner English. Secondly, we develop an SCF identification system for learner English. We train a machine learning model on both native and learner English data. The system can label individual verb occurrences in learner data for a set of 49 distinct SCFs. Our evaluation shows that the system reaches an accuracy of 84\% F1 score. We then demonstrate that the level of accuracy is adequate for linguistic research. We design the first multidimensional SCF diversity metrics and investigate how SCF diversity changes with L2 proficiency on a large learner corpus. Our results show that as L2 proficiency develops, learners tend to use more diverse SCF types with greater taxonomic distance; more advanced learners also use different SCF types more evenly and locate the verb tokens of the same SCF type further away from each other. Furthermore, we demonstrate that the proposed SCF diversity metrics contribute a unique perspective to the prediction of L2 proficiency beyond existing syntactic complexity metrics.
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Vogel, Ralf. "Polyvalent Verbs." Doctoral thesis, Humboldt-Universität zu Berlin, Philosophische Fakultät II, 1998. http://dx.doi.org/10.18452/14508.

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Polyvalente Verben koennen mit unterschiedlichen Konstituentenmengen kombiniert sein, wobei deren Zahl und Art variieren. In den meisten Grammatikschulen sind Verben zentral fuer syntaktische Gestalt und semantische Interpretation von Saetzen. Sie bestimmen ueber ihre Subkategorisierungsrahmen, wieviele Komplemente welchen Typs im Satz realisiert werden. Daher ist Polyvalenz ein unerwartetes Phaenomen. Eine Diskussion verschiedener Ansaetze der generativen Grammatik ergibt, dass Subkategorisierung fuer die Erklaerung von Polyvalenz ungeeignet ist. Im zweiten Kapitel wird ein Modell fuer die konzeptuell-semantische Interpretation von Verben und Saetzen entwickelt, das dem Rechnung traegt: In Saetzen mit polyvalenten Verben bedingen die Komplemente des Verbs zusammen mit dem Verb die konzeptuell-semantische Interpretation. Die thematische Interpretation wird als inferentieller Prozess angesehen, der keinen Spezialfall allgemeiner konzeptuell-semantischer Interpretationsprozesse darstellt, sondern vielmehr in diese eingebunden ist.
Polyvalent verbs can be combined with different sets of complements. The variation concerns both number and type of the complements. In most grammar theoretical frameworks, verbs are of crucial importance for the syntactic structure and semantic interpretation of clauses. They determine via subcategorization frames how many complements of which type are realized. Polyvalence is therefore an unexpected phenomenon. A discussion of several approaches in generative grammar results in the claim that subcategorization is not very useful for the explanation of polyvalence. In the second chapter, a model for the conceptual-semantic interpretation of verbs and clauses is developed that takes polyvalence into account: the conceptual-semantic interpretation of clauses with polyvalent verbs is determined by the verb and complements together. Thematic interpretation is viewed as an inferential process that is embedded within the general conceptual-semantic interpretation processes, not their prerequisite.
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Jeong, Hy-Sook. "A valency subcategorization of verbs in Korean and Russian : a lexicase dependency approach." Thesis, 1992. http://hdl.handle.net/10125/9944.

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Books on the topic "Subcategorization"

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Her, One-Soon. Grammatical functions and verb subcategorization in Mandarin Chinese. [Tʻai-pei shih]: Crane Pub. Co., 1991.

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Ng, Siew Ai. Verbal subcategorization and derivation in Singapore Mandarin: A dependency grammar analysis. Singapore: Singapore Society of Asian Studies, 1997.

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Jeong, Hy-Sook. A valency subcategorization of verbs in Korean and Russian: A lexicase dependency approach. Ann Arbor, MI: UMI, 1994.

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McCarthy, Diana F. Lexical acquisition at the syntax-semantics interface: Diathesis alternations, subcategorization frames and selectional preferences. 2001.

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Book chapters on the topic "Subcategorization"

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Gorrell, Paul. "Subcategorization and Sentence Processing." In Studies in Linguistics and Philosophy, 279–300. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3474-3_11.

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Amaral, Patrícia, and Manuel Delicado Cantero. "Chapter 2. Subcategorization and change." In Contemporary Trends in Hispanic and Lusophone Linguistics, 31–48. Amsterdam: John Benjamins Publishing Company, 2018. http://dx.doi.org/10.1075/ihll.15.03ama.

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Marques, Nuno Miguel, Gabriel Pereira Lopes, and Carlos Agra Coelho. "Using loglinear clustering for subcategorization identification." In Principles of Data Mining and Knowledge Discovery, 379–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0094841.

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Roland, Doug, and Daniel Jurafsky. "Verb sense and verb subcategorization probabilities." In Natural Language Processing, 325–45. Amsterdam: John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/nlp.4.17rol.

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Lopes, J. G. Pereira, and JoÃo Balsa. "Overcoming incomplete information in NLP systems — Verb subcategorization." In Artificial Intelligence: Methodology, Systems, and Applications, 331–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0057456.

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Das, Dipankar, Asif Ekbal, and Sivaji Bandyopadhyay. "Acquiring Verb Subcategorization Frames in Bengali from Corpora." In Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy, 386–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00831-3_39.

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Basili, Roberto, Maria Teresa Pazienza, and Michele Vindigni. "Corpus-driven unsupervised learning of verb subcategorization frames." In Lecture Notes in Computer Science, 159–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63576-9_105.

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Kermanidis, K., M. Maragoudakis, N. Fakotakis, and G. Kokkinakis. "Influence of Conditional Independence Assumption on Verb Subcategorization Detection." In Text, Speech and Dialogue, 62–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44805-5_8.

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Fukumoto, Fumiyo, Yoshimi Suzuki, and Kazuyuki Yamashita. "Polysemous Verb Classification Using Subcategorization Acquisition and Graph-Based Clustering." In Human Language Technology. Challenges for Computer Science and Linguistics, 115–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20095-3_11.

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Seely, T. Daniel. "Merge, derivational C-command, and subcategorization in a label-free syntax." In Linguistik Aktuell/Linguistics Today, 182–217. Amsterdam: John Benjamins Publishing Company, 2006. http://dx.doi.org/10.1075/la.91.13see.

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Conference papers on the topic "Subcategorization"

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Korhonen, Anna. "Semantically motivated subcategorization acquisition." In the ACL-02 workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2002. http://dx.doi.org/10.3115/1118627.1118634.

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Li, Jianguo, and Chris Brew. "Parsing and subcategorization data." In the COLING/ACL. Morristown, NJ, USA: Association for Computational Linguistics, 2006. http://dx.doi.org/10.3115/1273073.1273140.

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Li, Jianguo. "Parsing and subcategorization data." In the 21st International Conference on computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2006. http://dx.doi.org/10.3115/1557856.1557874.

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Preiss, Judita, and Anna Korhonen. "Improving subcategorization acquisition with WSD." In the ACL-02 workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2002. http://dx.doi.org/10.3115/1118675.1118690.

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Aizpuru, J. R. Zubizarreta, and Craig Jones. "Modeling dialogue by functional subcategorization." In the 15th conference. Morristown, NJ, USA: Association for Computational Linguistics, 1994. http://dx.doi.org/10.3115/991250.991277.

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Banerjee, Somnath, Dipankar Das, and Sivaji Bandyopadhyay. "Bengali verb subcategorization frame acquisition." In the 7th Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1690299.1690310.

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Blank, Glenn D., and Carmel J. Owens. "Subcategorization in register vector grammar." In Orlando '90, 16-20 April, edited by Mohan M. Trivedi. SPIE, 1990. http://dx.doi.org/10.1117/12.21106.

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Korhonen, Anna, Genevieve Gorrell, and Diana McCarthy. "Statistical filtering and subcategorization frame acquisition." In the 2000 Joint SIGDAT conference. Morristown, NJ, USA: Association for Computational Linguistics, 2000. http://dx.doi.org/10.3115/1117794.1117819.

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Korhonen, Anna, Yuval Krymolowski, and Zvika Marx. "Clustering polysemic subcategorization frame distributions semantically." In the 41st Annual Meeting. Morristown, NJ, USA: Association for Computational Linguistics, 2003. http://dx.doi.org/10.3115/1075096.1075105.

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Briscoe, Ted, and John Carroll. "Automatic extraction of subcategorization from corpora." In the fifth conference. Morristown, NJ, USA: Association for Computational Linguistics, 1997. http://dx.doi.org/10.3115/974557.974609.

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